Solar Energy Based Charging for Electric Vehicles at Fuel Stations

Valdmanis, Gunārs; Rieksta, Madara; Luksta, Ilze; Bažbauers, Gatis

doi:10.2478/rtuect-2022-0088

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantages of SD modeling include the model's "open structure" and flexibility [22]. SD modeling has been applied to the case of solar-energy-based electric vehicle charging [24]. Kubli and Ulli-Beer [23] developed an SD model for the analysis of likely deployment patterns of decentralized energy generation, and Riveros et al [25] applied SD to model diffusion of distributed generation and consumption (prosumer) communities.…”

Section: Introductionmentioning

confidence: 99%

System Dynamics Model of Decentralized Household Electricity Storage Implementation: Case Study of Latvia

Gravelsins,

Atvare,

Kudurs

et al. 2023

Smart Cities

View full text Add to dashboard Cite

Increasing renewable energy share in total energy production is a direction that leads toward the European Union’s aims of carbon neutrality by 2050, as well as increasing energy self-sufficiency and independence. Some of the main challenges to increasing renewable energy share while providing an efficient and secure energy supply are related to the optimization and profitability of de-centralized energy production systems. Integration of energy storage systems in addition to decentralized renewable energy production, for example, by solar panels, leads to more effective electricity supply and smart energy solutions. The modeling of such a complex dynamic system can be performed using the system dynamics method. The main aim of this research is to build and validate the basic structure of the system dynamics model for PV and battery diffusion in the household sector. A system dynamics model predicting the implementation of battery storage in private households was created for the case study of Latvia. Modeling results reveal that under the right conditions for electricity price and investment costs and with the right policy interventions, battery storage technologies combined with PV panels have a high potential for utilization in the household sector. Model results show that in a baseline scenario with no additional policies, up to 21,422 households or 10.8% of Latvian households could have combined PV and battery systems installed in 2050. Moderate subsidy policy can help to increase this number up to 25,118.

show abstract

Section: Introductionmentioning

confidence: 99%

System Dynamics Model of Decentralized Household Electricity Storage Implementation: Case Study of Latvia

Gravelsins,

Atvare,

Kudurs

et al. 2023

Smart Cities

View full text Add to dashboard Cite

show abstract

System Dynamics Model of Decentralized Household Electricity Storage Implementation. Case Study of Latvia

Gravelsins,

Atvare,

Kudurs

et al. 2023

Preprint

View full text Add to dashboard Cite

Increasing of renewable energy share in total energy production is a direction that leads towards European Union’s aims of carbon neutrality by 2050, as well as increases energy self-sufficiency and independence. Some of the main challenges to increase renewable energy share while providing efficient and secure energy supply are related to optimization and profitability of de-centralized energy production systems. Integration of energy storage systems in addition to decentralized renewable energy production, for example, by solar panels, leads to more effective electricity supply and smart energy solutions. The modelling of such complex dynamic system can be performed using system dynamics method. The aim of the article is to forecast the practice of electricity storage in Latvia in the coming decades. A system dynamics model predicting the implementation of battery storage in private households was created for the case study of Latvia. Modelling results reveal that under the right conditions for electricity price, investment costs and with the right policy interventions battery storage technologies combined with PV panels have high potential for utilization in household sector. Model results show that in baseline scenario with no additional policies up 21 422 households or 10.8 % of Latvian households could have combined PV and battery system installed in 2050. Moderate subsidy policy can help to increase this number up to 25 118.

show abstract

Designing a Fertilizing Robot Application Considering Energy Efficiency

Olt,

Liivapuu,

Virro

et al. 2024

Environmental and Climate Technologies

View full text Add to dashboard Cite

Electrically driven agricultural robots encounter accelerated battery depletion compared to vehicles operating on asphalt due to heightened rolling and traction resistance necessitating increased energy consumption. This issue becomes pronounced in regions devoid of access to the electrical grid, precluding the possibility of recharging electrically driven agricultural robots and consequently leading to interruptions in their uninterrupted functionality. To address this challenge, the agrorobotics working group at the Estonian University of Life Sciences devised a novel solution: a combined energy production station leveraging biogas, hydrogen, and solar energy. This station was integrated with a prototype autonomous fertilizing robot tailored for blueberry plantations to conduct precision fertilization on depleted milled peat fields. Distinctive features of the station encompass an automated battery exchange system and an electric generator equipped with a membrane motor. These components, in conjunction with a solar energy and electric generator control system, alongside a battery charger, are affixed onto a mobile platform. The primary objective of this study was to ascertain the energy requisites of an autonomous fertilizing robot during field traversal and while executing technological operations. To achieve this aim, the mechanical power and energy necessary for the operation of the robot fertilizer spreader were initially quantified. Subsequently, an accumulator possessing suitable power and capacity for the operation of the robot fertilizer spreader was chosen. The article further delineates the determination of the travel distance achievable by the robot on a single charge of the selected accumulator, in addition to evaluating the traction power efficiency and specific power.

show abstract

Solar Energy Based Charging for Electric Vehicles at Fuel Stations

Cited by 4 publications

References 9 publications

System Dynamics Model of Decentralized Household Electricity Storage Implementation: Case Study of Latvia

System Dynamics Model of Decentralized Household Electricity Storage Implementation: Case Study of Latvia

System Dynamics Model of Decentralized Household Electricity Storage Implementation. Case Study of Latvia

Designing a Fertilizing Robot Application Considering Energy Efficiency

Contact Info

Product

Resources

About